4 papers · 1 filter
Sign Betting for Misspecified Regression: Variance Adaptivity and Optimal Approximation
Yinan Li, Han Han, Kwang-Sung Jun
We study bounded regression under model misspecification, evaluating a function by its distance to the conditional mean , rather than the…
-Good Action Identification in Fixed-Budget Monte Carlo Tree Search
Yinan Li, Tuan Nguyen, Kwang-Sung Jun
We study the fixed-budget max-min action identification problem in depth-2 max-min trees, an important special case of Monte Carlo Tree Search. A learner sequentially allocates …
Provably Efficient Regularized Online RLHF with Generalized Bilinear Preferences
Junghyun Lee, Minju Hong, Kwang-Sung Jun +2
We consider the problem of regularized best-response max-regret minimization in online RLHF under general preferences and bandit feedback. While various regularizers are utilized t…
Fixed Budget is No Harder Than Fixed Confidence in Best-Arm Identification up to Logarithmic Factors
Kapilan Balagopalan, Yinan Li, Yao Zhao +4
The best-arm identification (BAI) problem is one of the most fundamental problems in interactive machine learning, which has two flavors: the fixed-budget setting (FB) and the fixe…